poe_web_subscription_design_improvement

Consults four frontier models in parallel to deliver one high‑quality, unified response. Ideal for brainstorming, tackling complex questions, and turning diverse perspectives into actionable insights. Powered by GPT‑5.2, Claude‑Opus‑4.6, Gemini‑3.1‑Pro, and Grok‑4—with web search for comprehensive, up‑to‑date information.

Examples:
* https://poe.com/s/G7aVKPso5c3fu9A9oLdJ
* https://poe.com/s/ZGGvQ8LwMWnB7MzuHOhw

# poe: name=Multi-Model-Synthesizer

from collections import defaultdict
import re
from reportlab.lib.pagesizes import letter
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.units import inch
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Preformatted
from reportlab.lib.enums import TA_JUSTIFY
from reportlab.lib.colors import HexColor

class MultiModelSynthesizer:
 def __init__(self):
 self.models = [
 ("GPT-5.2", {"web_search": True}),
 ("Claude-Opus-4.6", {"web_search": True}),
 ("Gemini-3.1-Pro", {"web_search": True}),
 ("Grok-4", {}),
 ]

 # Calculate max model name width for alignment
 self.max_name_width = max(len(name) for name, _ in self.models)

 # Track state for each model
 self.model_states = {name: "connecting" for name, _ in self.models}
 self.char_counts = {name: 0 for name, _ in self.models}
 self.displayed_counts = {name: 0 for name, _ in self.models} # For throttling

 def get_dashboard(self, bot_responses):
 """Render the progress dashboard."""
 # Determine overall status
 active_count = sum(1 for state in self.model_states.values() if state == "streaming")
 all_done = all(state in ("complete", "error") for state in self.model_states.values())

 if all_done:
 header = "🎻 AI Quartet Complete"
 footer = "**All models complete!**"
 elif active_count > 0:
 header = "🎻 AI Quartet Active"
 footer = f"**{active_count} model{'s' if active_count != 1 else ''} active**"
 else:
 header = "🎻 AI Quartet Active"
 footer = "**All models initializing...**"

 # Build status lines
 # Add 100 spaces to prevent Poe from making the message narrow during streaming
 lines = [header, " " * 100]
 for name, _ in self.models:
 state = self.model_states[name]
 count = self.displayed_counts[name]

 # Format character count
 if count < 1000:
 count_str = f"{count} chars"
 else:
 count_str = f"{count/1000:.2f}k chars"

 # Status text and emoji
 if state == "connecting":
 status = "Thinking ⚪"
 elif state == "streaming":
 status = f"Responding 🔵 {count_str}"
 elif state == "complete":
 status = f"Complete ✅ {count_str}"
 elif state == "error":
 status = "Error ❌"

 # Pad name for alignment (add 3 spaces after longest name)
 padded_name = name.ljust(self.max_name_width + 3)
 lines.append(f"- {padded_name}| {status}")

 lines.append("")
 lines.append(footer)

 return "```dashboard\n" + "\n".join(lines) + "\n```"

 def filter_pdf_attachments(self, chat):
 """Remove all RawModelResponses.pdf attachments from chat history"""
 filtered_messages = []
 for message in chat:
 # Filter out RawModelResponses.pdf attachments
 filtered_attachments = [
 att for att in message.attachments
 if att.name != "RawModelResponses.pdf"
 ]
 # If attachments were filtered, create a new message without them
 if len(filtered_attachments) != len(message.attachments):
 filtered_messages.append(message.copy(attachments=filtered_attachments))
 else:
 filtered_messages.append(message)

 # Create new chat with filtered messages
 filtered_chat = poe.Chat()
 filtered_chat.add_messages(filtered_messages)
 return filtered_chat

 def create_pdf_from_responses(self, bot_responses, filename="RawModelResponses.pdf"):
 """Create a PDF containing all raw model responses"""
 doc = SimpleDocTemplate(
 filename,
 pagesize=letter,
 rightMargin=60,
 leftMargin=60,
 topMargin=60,
 bottomMargin=60
 )

 styles = getSampleStyleSheet()

 # Title style
 title_style = ParagraphStyle(
 'CustomTitle',
 parent=styles['Heading1'],
 fontSize=26,
 textColor=HexColor('#1a1a2e'),
 spaceAfter=30,
 spaceBefore=20,
 alignment=1, # CENTER
 fontName='Helvetica-Bold'
 )

 # Model header style
 model_header_style = ParagraphStyle(
 'ModelHeader',
 parent=styles['Heading2'],
 fontSize=18,
 textColor=HexColor('#2c3e50'),
 fontName='Helvetica-Bold',
 spaceAfter=12,
 spaceBefore=20
 )

 # Body text style
 body_style = ParagraphStyle(
 'EnhancedBody',
 parent=styles['BodyText'],
 fontSize=11,
 leading=16,
 textColor=HexColor('#2c3e50'),
 alignment=TA_JUSTIFY,
 spaceAfter=8
 )

 # Code block style
 code_style = ParagraphStyle(
 'CodeBlock',
 parent=styles['Code'],
 fontSize=9,
 leftIndent=20,
 rightIndent=20,
 textColor=HexColor('#2c3e50'),
 backColor=HexColor('#f8f9fa'),
 borderColor=HexColor('#dee2e6'),
 borderWidth=1,
 borderPadding=10,
 spaceAfter=12,
 fontName='Courier'
 )

 # Build PDF content
 story = []
 story.append(Spacer(1, 0.5 * inch))
 story.append(Paragraph("Raw Model Responses", title_style))
 story.append(Spacer(1, 0.3 * inch))

 # Add each model's response
 for model_name, _ in self.models:
 if self.model_states[model_name] == "error":
 continue

 story.append(Paragraph(model_name, model_header_style))
 story.append(Spacer(1, 0.1 * inch))

 response_text = bot_responses[model_name]
 self.add_markdown_content(story, response_text, body_style, code_style)

 story.append(Spacer(1, 0.3 * inch))

 doc.build(story)

 def add_markdown_content(self, story, text, body_style, code_style):
 """Parse markdown and add formatted content to the story"""
 lines = text.split('\n')
 i = 0
 in_code_block = False
 code_buffer = []

 while i < len(lines):
 line = lines[i]

 # Handle code blocks
 if line.strip().startswith('```'):
 if in_code_block:
 code_text = '\n'.join(code_buffer)
 if code_text.strip():
 story.append(Preformatted(code_text, code_style))
 code_buffer = []
 in_code_block = False
 else:
 in_code_block = True
 i += 1
 continue

 if in_code_block:
 code_buffer.append(line)
 i += 1
 continue

 line_stripped = line.strip()

 if not line_stripped:
 story.append(Spacer(1, 0.1 * inch))
 i += 1
 continue

 # Headers
 if line_stripped.startswith('####'):
 h4_style = ParagraphStyle('H4', parent=body_style, fontSize=12,
 textColor=HexColor('#34495e'), fontName='Helvetica-Bold',
 spaceAfter=8, spaceBefore=12)
 story.append(Paragraph(self.escape_html(line_stripped.replace('####', '').strip()), h4_style))
 elif line_stripped.startswith('###'):
 h3_style = ParagraphStyle('H3', parent=body_style, fontSize=13,
 textColor=HexColor('#2c3e50'), fontName='Helvetica-Bold',
 spaceAfter=10, spaceBefore=14)
 story.append(Paragraph(self.escape_html(line_stripped.replace('###', '').strip()), h3_style))
 elif line_stripped.startswith('##'):
 h2_style = ParagraphStyle('H2', parent=body_style, fontSize=15,
 textColor=HexColor('#2c3e50'), fontName='Helvetica-Bold',
 spaceAfter=12, spaceBefore=16)
 story.append(Paragraph(self.escape_html(line_stripped.replace('##', '').strip()), h2_style))
 elif line_stripped.startswith('#'):
 h1_style = ParagraphStyle('H1', parent=body_style, fontSize=17,
 textColor=HexColor('#1a1a2e'), fontName='Helvetica-Bold',
 spaceAfter=14, spaceBefore=18)
 story.append(Paragraph(self.escape_html(line_stripped.replace('#', '').strip()), h1_style))

 # Bullet lists
 elif line_stripped.startswith('- ') or line_stripped.startswith('* '):
 bullet_style = ParagraphStyle('Bullet', parent=body_style, leftIndent=20,
 bulletIndent=10, spaceAfter=4)
 content = line_stripped[2:].strip()
 formatted = self.convert_markdown_inline(self.escape_html(content))
 story.append(Paragraph(f"• {formatted}", bullet_style))

 # Numbered lists
 elif re.match(r'^\d+\.\s', line_stripped):
 num_style = ParagraphStyle('Numbered', parent=body_style, leftIndent=20, spaceAfter=4)
 formatted = self.convert_markdown_inline(self.escape_html(line_stripped))
 story.append(Paragraph(formatted, num_style))

 # Blockquotes
 elif line_stripped.startswith('>'):
 quote_style = ParagraphStyle('Quote', parent=body_style, leftIndent=30,
 rightIndent=20, textColor=HexColor('#555555'),
 fontName='Helvetica-Oblique', spaceAfter=10)
 content = line_stripped[1:].strip()
 formatted = self.convert_markdown_inline(self.escape_html(content))
 story.append(Paragraph(formatted, quote_style))

 # Regular paragraph
 else:
 formatted = self.convert_markdown_inline(self.escape_html(line_stripped))
 story.append(Paragraph(formatted, body_style))

 i += 1

 def convert_markdown_inline(self, text):
 """Convert inline markdown to HTML for reportlab"""
 text = re.sub(r'`(.+?)`', r'\1', text)
 text = re.sub(r'\[(.+?)\]\((.+?)\)', r'\1', text)
 text = re.sub(r'\*\*\*(.+?)\*\*\*', r'\1', text)
 text = re.sub(r'___(.+?)___', r'\1', text)
 text = re.sub(r'\*\*(.+?)\*\*', r'\1', text)
 text = re.sub(r'__(.+?)__', r'\1', text)
 text = re.sub(r'(?<!\w)\*([^\*]+?)\*(?!\w)', r'\1', text)
 text = re.sub(r'(?<!\w)_([^_]+?)_(?!\w)', r'\1', text)
 text = re.sub(r'~~(.+?)~~', r'\1', text)
 return text

 def escape_html(self, text):
 """Escape HTML special characters"""
 return text.replace('&', '&amp;').replace('<', '&lt;').replace('>', '&gt;')

 def stream_model(self, msg, bot_responses, name, params, filtered_chat):
 """Stream a model's response with error handling."""
 try:
 for partial in poe.stream(name, filtered_chat, poe.query, parameters=params):
 text = getattr(partial, "text", "")
 if partial.is_replace_response:
 bot_responses[name] = text
 else:
 bot_responses[name] += text

 # Update character count
 self.char_counts[name] = len(bot_responses[name])
 self.displayed_counts[name] = self.char_counts[name]

 # Update state to streaming if we have content
 if self.char_counts[name] > 0 and self.model_states[name] == "connecting":
 self.model_states[name] = "streaming"

 # Update dashboard on every stream update
 msg.overwrite(self.get_dashboard(bot_responses))

 # Mark as complete
 self.model_states[name] = "complete"
 msg.overwrite(self.get_dashboard(bot_responses))

 except Exception as e:
 bot_responses[name] = f"Error: {str(e)}"
 self.model_states[name] = "error"
 msg.overwrite(self.get_dashboard(bot_responses))

 def run(self):
 bot_responses = defaultdict(str)

 # Filter out any previous RawModelResponses.pdf attachments from chat history
 filtered_chat = self.filter_pdf_attachments(poe.default_chat)

 with poe.start_message() as msg:
 # Show initial dashboard
 msg.write(self.get_dashboard(bot_responses))

 # Stream all models in parallel (using filtered chat)
 poe.parallel(*[
 lambda n=name, p=params: self.stream_model(msg, bot_responses, n, p, filtered_chat)
 for name, params in self.models
 ])

 # After all complete, update to final dashboard
 final_dashboard = self.get_dashboard(bot_responses)
 msg.overwrite(final_dashboard + "\n\n")

 # Build aggregator prompt with all model responses
 aggregator_prompt = f"""You are synthesizing responses from multiple AI models to provide the best possible answer to the user's query.

<user_query>
{poe.query.text}
</user_query>

<model_responses>
"""
 for model_name, _ in self.models:
 # Only include non-error responses
 if self.model_states[model_name] != "error":
 aggregator_prompt += f'<model name="{model_name}">\n{bot_responses[model_name]}\n</model>\n\n'

 aggregator_prompt += """</model_responses>

Your task: Deliver the BEST answer to the CURRENT user query (shown above in the <user_query> tags) by synthesizing the model responses above.

Guidelines:
- Write as ONE cohesive expert response, not "Model X says... Model Y says..."
- Eliminate redundancy - if models agree on something, state it once (not 4 times with different attributions)
- Only mention a specific model when it provided an insight that was truly unique to that one model (none of the others mentioned it)
- Use model mentions conservatively - if there are many unique insights, only highlight the most valuable ones to avoid overwhelming with references
- Use short names when referring to models: GPT-5.2, Claude, Grok, Gemini
- Be concise and actionable - avoid lengthy preambles, excessive explanations, or filler text
- Your response should generally not be significantly longer than the longest individual model response (when comparing lengths, ignore thinking/reasoning blocks and focus on actual content)
- Use clear structure (bullets, headings) when presenting multiple points
- Focus on delivering actionable value - unique model insights should demonstrate why consulting multiple AI perspectives adds value

Provide your synthesized response now."""

 # Stream aggregator response with filtered chat context (exclude current in-progress message)
 aggregator_text = ""
 for partial in poe.stream("GPT-5.2-Instant", filtered_chat, aggregator_prompt):
 text = getattr(partial, "text", "")
 if partial.is_replace_response:
 aggregator_text = text
 else:
 aggregator_text += text
 msg.overwrite(final_dashboard + "\n\n" + aggregator_text)

 # Generate and attach PDF with raw model responses
 self.create_pdf_from_responses(bot_responses)
 pdf_attachment = msg.attach_file(
 name="RawModelResponses.pdf",
 contents=open("RawModelResponses.pdf", "rb").read(),
 content_type="application/pdf"
 )

if __name__ == "__main__":
 bot = MultiModelSynthesizer()
 bot.run()

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AIQuartet